Overview

Dataset statistics

Number of variables20
Number of observations52704
Missing cells10580
Missing cells (%)1.0%
Duplicate rows15
Duplicate rows (%)< 0.1%
Total size in memory8.4 MiB
Average record size in memory168.0 B

Variable types

Numeric19
Categorical1

Alerts

Lost Production to Curtailment (Total) (kWh) has constant value "0.0"Constant
Dataset has 15 (< 0.1%) duplicate rowsDuplicates
Wind speed (m/s) is highly overall correlated with Wind speed, Standard deviation (m/s) and 9 other fieldsHigh correlation
Wind speed, Standard deviation (m/s) is highly overall correlated with Wind speed (m/s) and 8 other fieldsHigh correlation
Wind speed, Minimum (m/s) is highly overall correlated with Wind speed (m/s) and 9 other fieldsHigh correlation
Wind speed, Maximum (m/s) is highly overall correlated with Wind speed (m/s) and 9 other fieldsHigh correlation
Wind direction (°) is highly overall correlated with Nacelle position (°)High correlation
Nacelle position (°) is highly overall correlated with Wind direction (°)High correlation
Energy Export (kWh) is highly overall correlated with Wind speed (m/s) and 9 other fieldsHigh correlation
Power (kW) is highly overall correlated with Wind speed (m/s) and 9 other fieldsHigh correlation
Reactive power (kvar) is highly overall correlated with Wind speed (m/s) and 9 other fieldsHigh correlation
Rotor speed (RPM) is highly overall correlated with Wind speed (m/s) and 9 other fieldsHigh correlation
Generator RPM (RPM) is highly overall correlated with Wind speed (m/s) and 9 other fieldsHigh correlation
Blade angle (pitch position) A (°) is highly overall correlated with Blade angle (pitch position) B (°) and 1 other fieldsHigh correlation
Blade angle (pitch position) B (°) is highly overall correlated with Blade angle (pitch position) A (°) and 1 other fieldsHigh correlation
Blade angle (pitch position) C (°) is highly overall correlated with Blade angle (pitch position) A (°) and 1 other fieldsHigh correlation
Front bearing temperature (°C) is highly overall correlated with Wind speed (m/s) and 9 other fieldsHigh correlation
Rear bearing temperature (°C) is highly overall correlated with Wind speed (m/s) and 8 other fieldsHigh correlation
Wind speed, Standard deviation (m/s) has 706 (1.3%) missing valuesMissing
Wind speed, Minimum (m/s) has 706 (1.3%) missing valuesMissing
Wind speed, Maximum (m/s) has 706 (1.3%) missing valuesMissing
Nacelle ambient temperature (°C) has 706 (1.3%) missing valuesMissing
Blade angle (pitch position) A (°) has 705 (1.3%) missing valuesMissing
Blade angle (pitch position) B (°) has 705 (1.3%) missing valuesMissing
Blade angle (pitch position) C (°) has 705 (1.3%) missing valuesMissing
Metal particle count counter has 706 (1.3%) missing valuesMissing
Front bearing temperature (°C) has 705 (1.3%) missing valuesMissing
Rear bearing temperature (°C) has 705 (1.3%) missing valuesMissing
Reactive power (kvar) has 4042 (7.7%) zerosZeros
Rotor speed (RPM) has 1339 (2.5%) zerosZeros
Blade angle (pitch position) A (°) has 23228 (44.1%) zerosZeros
Blade angle (pitch position) B (°) has 23234 (44.1%) zerosZeros
Blade angle (pitch position) C (°) has 23267 (44.1%) zerosZeros
Lost Production to Downtime (kWh) has 51415 (97.6%) zerosZeros

Reproduction

Analysis started2023-06-23 09:11:58.708590
Analysis finished2023-06-23 09:14:03.679366
Duration2 minutes and 4.97 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

Wind speed (m/s)
Real number (ℝ)

Distinct52150
Distinct (%)99.8%
Missing452
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean6.8287519
Minimum0.20908153
Maximum24.259069
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size823.5 KiB
2023-06-23T09:14:03.861478image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.20908153
5-th percentile2.3542847
Q14.623856
median6.5154258
Q38.7429275
95-th percentile12.222179
Maximum24.259069
Range24.049987
Interquartile range (IQR)4.1190715

Descriptive statistics

Standard deviation3.0695086
Coefficient of variation (CV)0.44949775
Kurtosis0.62774848
Mean6.8287519
Median Absolute Deviation (MAD)2.0419684
Skewness0.63493332
Sum356815.94
Variance9.4218831
MonotonicityNot monotonic
2023-06-23T09:14:04.187009image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.839999914 4
 
< 0.1%
2.289999962 4
 
< 0.1%
2.309999943 3
 
< 0.1%
4.730000019 3
 
< 0.1%
5.889999866 3
 
< 0.1%
2.5 3
 
< 0.1%
2.420000076 2
 
< 0.1%
2.880000114 2
 
< 0.1%
3.319999933 2
 
< 0.1%
3.039999962 2
 
< 0.1%
Other values (52140) 52224
99.1%
(Missing) 452
 
0.9%
ValueCountFrequency (%)
0.2090815317 1
< 0.1%
0.2333094531 1
< 0.1%
0.2461876355 1
< 0.1%
0.2770688798 1
< 0.1%
0.2981252423 1
< 0.1%
0.3070875908 1
< 0.1%
0.3091126699 1
< 0.1%
0.3177563846 1
< 0.1%
0.3184876293 1
< 0.1%
0.3221054297 1
< 0.1%
ValueCountFrequency (%)
24.25906868 1
< 0.1%
23.85808134 1
< 0.1%
23.44286237 1
< 0.1%
22.92345388 1
< 0.1%
22.86704988 1
< 0.1%
22.59070831 1
< 0.1%
22.40182495 1
< 0.1%
22.25812111 1
< 0.1%
22.23009372 1
< 0.1%
22.20307912 1
< 0.1%

Wind speed, Standard deviation (m/s)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct51993
Distinct (%)> 99.9%
Missing706
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean0.9437902
Minimum0
Maximum5.7408801
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size823.5 KiB
2023-06-23T09:14:04.473337image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.33753301
Q10.58369874
median0.85705663
Q31.1993371
95-th percentile1.8407237
Maximum5.7408801
Range5.7408801
Interquartile range (IQR)0.61563838

Descriptive statistics

Standard deviation0.49573898
Coefficient of variation (CV)0.52526396
Kurtosis4.0581088
Mean0.9437902
Median Absolute Deviation (MAD)0.300142
Skewness1.4294064
Sum49075.203
Variance0.24575714
MonotonicityNot monotonic
2023-06-23T09:14:04.786302image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
< 0.1%
0.7114124541 1
 
< 0.1%
0.8315067069 1
 
< 0.1%
0.3781732035 1
 
< 0.1%
0.3170861193 1
 
< 0.1%
0.3909847494 1
 
< 0.1%
0.5154616945 1
 
< 0.1%
0.4223805411 1
 
< 0.1%
0.4439215322 1
 
< 0.1%
0.4771394356 1
 
< 0.1%
Other values (51983) 51983
98.6%
(Missing) 706
 
1.3%
ValueCountFrequency (%)
0 6
< 0.1%
0.03369789839 1
 
< 0.1%
0.03748257189 1
 
< 0.1%
0.04030990122 1
 
< 0.1%
0.04160175112 1
 
< 0.1%
0.04451345548 1
 
< 0.1%
0.04489343147 1
 
< 0.1%
0.04841753154 1
 
< 0.1%
0.0485060437 1
 
< 0.1%
0.04862703664 1
 
< 0.1%
ValueCountFrequency (%)
5.740880053 1
< 0.1%
5.211932414 1
< 0.1%
5.143277346 1
< 0.1%
4.752276101 1
< 0.1%
4.745467343 1
< 0.1%
4.673558306 1
< 0.1%
4.531003645 1
< 0.1%
4.525778728 1
< 0.1%
4.432681584 1
< 0.1%
4.431303062 1
< 0.1%

Wind speed, Minimum (m/s)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct32094
Distinct (%)61.7%
Missing706
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean4.9880485
Minimum0
Maximum17.57025
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size823.5 KiB
2023-06-23T09:14:05.279310image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2156938
Q13.2577815
median4.8708625
Q36.5410235
95-th percentile9.1800726
Maximum17.57025
Range17.57025
Interquartile range (IQR)3.283242

Descriptive statistics

Standard deviation2.4194212
Coefficient of variation (CV)0.48504365
Kurtosis0.11921688
Mean4.9880485
Median Absolute Deviation (MAD)1.6416675
Skewness0.38900192
Sum259368.54
Variance5.853599
MonotonicityNot monotonic
2023-06-23T09:14:05.706194image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.172912598 9
 
< 0.1%
5.386899948 9
 
< 0.1%
4.406428814 9
 
< 0.1%
4.706769943 8
 
< 0.1%
5.055745125 8
 
< 0.1%
4.758373737 8
 
< 0.1%
4.869377613 8
 
< 0.1%
5.752952576 8
 
< 0.1%
5.382816315 8
 
< 0.1%
4.445409775 8
 
< 0.1%
Other values (32084) 51915
98.5%
(Missing) 706
 
1.3%
ValueCountFrequency (%)
0 1
< 0.1%
0.008250189014 1
< 0.1%
0.009750222787 1
< 0.1%
0.01575035974 1
< 0.1%
0.01612536982 1
< 0.1%
0.01912543736 1
< 0.1%
0.02250019275 1
< 0.1%
0.02737559006 1
< 0.1%
0.02962533757 1
< 0.1%
0.0345007889 1
< 0.1%
ValueCountFrequency (%)
17.57024956 1
< 0.1%
17.28412437 1
< 0.1%
17.23460197 1
< 0.1%
17.08312416 1
< 0.1%
16.88999939 1
< 0.1%
16.84312439 1
< 0.1%
16.81575012 1
< 0.1%
16.79062462 1
< 0.1%
16.25561523 1
< 0.1%
16.22925568 1
< 0.1%

Wind speed, Maximum (m/s)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct34164
Distinct (%)65.7%
Missing706
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean8.6022337
Minimum0.38212523
Maximum32.346001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size823.5 KiB
2023-06-23T09:14:06.227223image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.38212523
5-th percentile3.1653752
Q15.8554174
median8.1037073
Q310.868685
95-th percentile15.59867
Maximum32.346001
Range31.963875
Interquartile range (IQR)5.0132672

Descriptive statistics

Standard deviation3.8464556
Coefficient of variation (CV)0.44714614
Kurtosis1.3962473
Mean8.6022337
Median Absolute Deviation (MAD)2.4660282
Skewness0.86590758
Sum447298.95
Variance14.79522
MonotonicityNot monotonic
2023-06-23T09:14:06.737446image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.147886276 9
 
< 0.1%
8.528046608 8
 
< 0.1%
6.832547665 8
 
< 0.1%
8.98505497 8
 
< 0.1%
7.390536308 8
 
< 0.1%
9.1951828 7
 
< 0.1%
9.28057003 7
 
< 0.1%
7.548688889 7
 
< 0.1%
7.545347691 7
 
< 0.1%
11.35585785 7
 
< 0.1%
Other values (34154) 51922
98.5%
(Missing) 706
 
1.3%
ValueCountFrequency (%)
0.3821252286 1
< 0.1%
0.3884999454 1
< 0.1%
0.4098754525 1
< 0.1%
0.4499995708 1
< 0.1%
0.4672499597 1
< 0.1%
0.4830003381 1
< 0.1%
0.4923753142 2
< 0.1%
0.5242496729 1
< 0.1%
0.5264995098 1
< 0.1%
0.5313746333 1
< 0.1%
ValueCountFrequency (%)
32.34600067 1
< 0.1%
32.32574844 1
< 0.1%
31.62487411 1
< 0.1%
31.4816246 1
< 0.1%
30.97987366 1
< 0.1%
30.81789589 1
< 0.1%
30.4596405 1
< 0.1%
30.20962524 1
< 0.1%
30.19687462 1
< 0.1%
30.07875061 1
< 0.1%

Wind direction (°)
Real number (ℝ)

Distinct52252
Distinct (%)100.0%
Missing452
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean198.26606
Minimum0.0088506615
Maximum359.97028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size823.5 KiB
2023-06-23T09:14:07.109627image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.0088506615
5-th percentile30.281706
Q1146.11415
median217.44011
Q3258.72396
95-th percentile327.23791
Maximum359.97028
Range359.96143
Interquartile range (IQR)112.60981

Descriptive statistics

Standard deviation90.886592
Coefficient of variation (CV)0.45840721
Kurtosis-0.63493577
Mean198.26606
Median Absolute Deviation (MAD)49.987017
Skewness-0.55044514
Sum10359798
Variance8260.3725
MonotonicityNot monotonic
2023-06-23T09:14:07.540075image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264.2650987 1
 
< 0.1%
31.26087436 1
 
< 0.1%
279.5289272 1
 
< 0.1%
209.9247615 1
 
< 0.1%
159.422624 1
 
< 0.1%
74.7489434 1
 
< 0.1%
25.2250473 1
 
< 0.1%
356.0874239 1
 
< 0.1%
344.4018338 1
 
< 0.1%
295.7011647 1
 
< 0.1%
Other values (52242) 52242
99.1%
(Missing) 452
 
0.9%
ValueCountFrequency (%)
0.008850661519 1
< 0.1%
0.0172743059 1
< 0.1%
0.04795168537 1
< 0.1%
0.05323209476 1
< 0.1%
0.06068829484 1
< 0.1%
0.06209702858 1
< 0.1%
0.10066375 1
< 0.1%
0.1018755274 1
< 0.1%
0.1049417314 1
< 0.1%
0.1213648434 1
< 0.1%
ValueCountFrequency (%)
359.9702789 1
< 0.1%
359.9647985 1
< 0.1%
359.9576589 1
< 0.1%
359.9132425 1
< 0.1%
359.9028128 1
< 0.1%
359.8957745 1
< 0.1%
359.8910482 1
< 0.1%
359.8854283 1
< 0.1%
359.8429117 1
< 0.1%
359.8369728 1
< 0.1%

Nacelle position (°)
Real number (ℝ)

Distinct14808
Distinct (%)28.3%
Missing452
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean198.16499
Minimum0.013192621
Maximum359.96844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size823.5 KiB
2023-06-23T09:14:08.038708image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.013192621
5-th percentile29.487252
Q1144.55023
median217.5574
Q3259.26505
95-th percentile326.1696
Maximum359.96844
Range359.95525
Interquartile range (IQR)114.71481

Descriptive statistics

Standard deviation91.406422
Coefficient of variation (CV)0.46126424
Kurtosis-0.64232089
Mean198.16499
Median Absolute Deviation (MAD)50.486908
Skewness-0.54604382
Sum10354517
Variance8355.1339
MonotonicityNot monotonic
2023-06-23T09:14:08.554757image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210.9730225 194
 
0.4%
234.0213623 192
 
0.4%
260.3634338 145
 
0.3%
205.485199 144
 
0.3%
252.680481 121
 
0.2%
242.8023987 118
 
0.2%
311.9479675 114
 
0.2%
213.1681519 111
 
0.2%
223.0462341 111
 
0.2%
287.8025513 108
 
0.2%
Other values (14798) 50894
96.6%
(Missing) 452
 
0.9%
ValueCountFrequency (%)
0.01319262075 1
 
< 0.1%
0.02226442459 1
 
< 0.1%
0.03564797833 1
 
< 0.1%
0.2250601555 1
 
< 0.1%
0.2409045547 1
 
< 0.1%
0.2412719727 14
< 0.1%
0.2413623333 10
< 0.1%
0.2413635403 16
< 0.1%
0.2414245605 8
< 0.1%
0.2416331768 3
 
< 0.1%
ValueCountFrequency (%)
359.9684443 1
< 0.1%
359.9476391 1
< 0.1%
359.8356939 1
< 0.1%
359.6409432 1
< 0.1%
359.5866073 1
< 0.1%
359.5347401 1
< 0.1%
359.500335 1
< 0.1%
359.3939653 1
< 0.1%
359.1976066 1
< 0.1%
359.1936972 1
< 0.1%

Energy Export (kWh)
Real number (ℝ)

Distinct563
Distinct (%)1.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean130.40535
Minimum0
Maximum412
Zeros211
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size823.5 KiB
2023-06-23T09:14:09.108675image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.12121212
Q128
median92
Q3222
95-th percentile366
Maximum412
Range412
Interquartile range (IQR)194

Descriptive statistics

Standard deviation119.20664
Coefficient of variation (CV)0.91412388
Kurtosis-0.64366638
Mean130.40535
Median Absolute Deviation (MAD)78
Skewness0.74387117
Sum6872622.5
Variance14210.223
MonotonicityNot monotonic
2023-06-23T09:14:09.586898image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
307 765
 
1.5%
308 635
 
1.2%
306 569
 
1.1%
1 450
 
0.9%
0.0134529148 446
 
0.8%
305 380
 
0.7%
2 343
 
0.7%
3 329
 
0.6%
18 327
 
0.6%
21 317
 
0.6%
Other values (553) 48141
91.3%
ValueCountFrequency (%)
0 211
0.4%
0.004807692308 106
 
0.2%
0.01265822785 79
 
0.1%
0.01315789474 76
 
0.1%
0.0134529148 446
0.8%
0.01538461538 195
0.4%
0.01923076923 52
 
0.1%
0.02040816327 49
 
0.1%
0.02325581395 43
 
0.1%
0.02857142857 35
 
0.1%
ValueCountFrequency (%)
412 20
 
< 0.1%
411 152
0.3%
410 280
0.5%
409 267
0.5%
408 220
0.4%
407 139
0.3%
406 127
0.2%
405 89
 
0.2%
404 79
 
0.1%
403 58
 
0.1%

Power (kW)
Real number (ℝ)

Distinct52230
Distinct (%)> 99.9%
Missing451
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean786.26408
Minimum-14.492521
Maximum2081.1495
Zeros2
Zeros (%)< 0.1%
Negative4764
Negative (%)9.0%
Memory size823.5 KiB
2023-06-23T09:14:10.156869image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-14.492521
5-th percentile-1.3883804
Q1172.39488
median564.83969
Q31358.9105
95-th percentile2039.3891
Maximum2081.1495
Range2095.642
Interquartile range (IQR)1186.5156

Descriptive statistics

Standard deviation700.80795
Coefficient of variation (CV)0.8913137
Kurtosis-1.0531555
Mean786.26408
Median Absolute Deviation (MAD)474.34175
Skewness0.60583664
Sum41084657
Variance491131.78
MonotonicityNot monotonic
2023-06-23T09:14:10.548350image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.74000001 3
 
< 0.1%
-0.4876190156 3
 
< 0.1%
-1.024853528 2
 
< 0.1%
-1.960000038 2
 
< 0.1%
-0.5148275107 2
 
< 0.1%
-1.358824527 2
 
< 0.1%
0 2
 
< 0.1%
-0.6023215175 2
 
< 0.1%
-2.769398516 2
 
< 0.1%
-1.148625527 2
 
< 0.1%
Other values (52220) 52231
99.1%
(Missing) 451
 
0.9%
ValueCountFrequency (%)
-14.49252149 1
< 0.1%
-14.46196609 1
< 0.1%
-14.31465816 1
< 0.1%
-14.11140456 1
< 0.1%
-14.10410872 1
< 0.1%
-13.80459852 1
< 0.1%
-13.28981109 1
< 0.1%
-12.50698555 1
< 0.1%
-12.40530159 1
< 0.1%
-12.35464756 1
< 0.1%
ValueCountFrequency (%)
2081.149487 1
< 0.1%
2080.385461 1
< 0.1%
2078.979639 1
< 0.1%
2075.42146 1
< 0.1%
2075.299274 1
< 0.1%
2074.680377 1
< 0.1%
2074.671857 1
< 0.1%
2074.663867 1
< 0.1%
2074.248657 1
< 0.1%
2074.184174 1
< 0.1%

Reactive power (kvar)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct48196
Distinct (%)92.2%
Missing451
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean-236.88061
Minimum-669.36127
Maximum2.0754185
Zeros4042
Zeros (%)7.7%
Negative48206
Negative (%)91.5%
Memory size823.5 KiB
2023-06-23T09:14:10.830775image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-669.36127
5-th percentile-591.95377
Q1-370.73269
median-179.94113
Q3-84.786549
95-th percentile0
Maximum2.0754185
Range671.43669
Interquartile range (IQR)285.94614

Descriptive statistics

Standard deviation185.67337
Coefficient of variation (CV)-0.78382683
Kurtosis-0.82486266
Mean-236.88061
Median Absolute Deviation (MAD)114.19426
Skewness-0.65795907
Sum-12377722
Variance34474.601
MonotonicityNot monotonic
2023-06-23T09:14:11.140224image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4042
 
7.7%
-0.01280400008 4
 
< 0.1%
-0.00853600055 4
 
< 0.1%
-0.004268000275 3
 
< 0.1%
-0.008985263737 3
 
< 0.1%
-69.80999756 2
 
< 0.1%
-0.007468999922 2
 
< 0.1%
-0.009999999776 2
 
< 0.1%
-152.2400055 2
 
< 0.1%
-0.02134000063 2
 
< 0.1%
Other values (48186) 48187
91.4%
(Missing) 451
 
0.9%
ValueCountFrequency (%)
-669.3612743 1
< 0.1%
-667.8773274 1
< 0.1%
-659.4752319 1
< 0.1%
-649.9121582 1
< 0.1%
-647.2082062 1
< 0.1%
-646.8785065 1
< 0.1%
-646.4841614 1
< 0.1%
-645.8748993 1
< 0.1%
-645.8111649 1
< 0.1%
-645.061792 1
< 0.1%
ValueCountFrequency (%)
2.075418472 1
 
< 0.1%
1.801195908 1
 
< 0.1%
1.800123024 1
 
< 0.1%
1.577632999 1
 
< 0.1%
0.3457245111 1
 
< 0.1%
0 4042
7.7%
-0.003734499961 2
 
< 0.1%
-0.004268000275 3
 
< 0.1%
-0.004492631868 1
 
< 0.1%
-0.007468999922 2
 
< 0.1%

Rotor speed (RPM)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct50731
Distinct (%)97.1%
Missing451
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean11.129825
Minimum0
Maximum15.31934
Zeros1339
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size823.5 KiB
2023-06-23T09:14:11.459710image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55204251
Q18.6765568
median11.983043
Q314.938414
95-th percentile15.173469
Maximum15.31934
Range15.31934
Interquartile range (IQR)6.2618575

Descriptive statistics

Standard deviation4.1683102
Coefficient of variation (CV)0.37451715
Kurtosis0.95614464
Mean11.129825
Median Absolute Deviation (MAD)3.045111
Skewness-1.2064181
Sum581566.72
Variance17.37481
MonotonicityNot monotonic
2023-06-23T09:14:11.754518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1339
 
2.5%
8.140000343 59
 
0.1%
0.01050000242 16
 
< 0.1%
15.15999985 14
 
< 0.1%
0.01200000197 9
 
< 0.1%
0.01150000188 8
 
< 0.1%
0.0110000018 7
 
< 0.1%
15.14999962 7
 
< 0.1%
15.14000034 5
 
< 0.1%
8.149999619 5
 
< 0.1%
Other values (50721) 50784
96.4%
(Missing) 451
 
0.9%
ValueCountFrequency (%)
0 1339
2.5%
0.004092000425 1
 
< 0.1%
0.004741001059 1
 
< 0.1%
0.00708631681 1
 
< 0.1%
0.01050000242 16
 
< 0.1%
0.01063700253 1
 
< 0.1%
0.0110000018 7
 
< 0.1%
0.01109900186 1
 
< 0.1%
0.01150000188 8
 
< 0.1%
0.01157894927 1
 
< 0.1%
ValueCountFrequency (%)
15.3193405 1
< 0.1%
15.3103939 1
< 0.1%
15.30540517 1
< 0.1%
15.30220641 1
< 0.1%
15.30144355 1
< 0.1%
15.29843697 1
< 0.1%
15.29797411 1
< 0.1%
15.29260477 1
< 0.1%
15.29143153 1
< 0.1%
15.28772995 1
< 0.1%

Generator RPM (RPM)
Real number (ℝ)

Distinct52215
Distinct (%)99.9%
Missing452
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1320.9817
Minimum-290.68586
Maximum1816.8374
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)< 0.1%
Memory size823.5 KiB
2023-06-23T09:14:12.073141image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-290.68586
5-th percentile66.966249
Q11031.4021
median1422.5381
Q31771.2529
95-th percentile1799.0295
Maximum1816.8374
Range2107.5233
Interquartile range (IQR)739.85079

Descriptive statistics

Standard deviation493.26355
Coefficient of variation (CV)0.37340681
Kurtosis0.97074458
Mean1320.9817
Median Absolute Deviation (MAD)359.35643
Skewness-1.2117602
Sum69023934
Variance243308.93
MonotonicityNot monotonic
2023-06-23T09:14:12.341691image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
970 4
 
< 0.1%
969.9799805 4
 
< 0.1%
970.0200195 4
 
< 0.1%
970.1300049 3
 
< 0.1%
969.9099731 3
 
< 0.1%
969.9500122 3
 
< 0.1%
970.1199951 3
 
< 0.1%
969.8200073 2
 
< 0.1%
968.3208961 2
 
< 0.1%
1801.180054 2
 
< 0.1%
Other values (52205) 52222
99.1%
(Missing) 452
 
0.9%
ValueCountFrequency (%)
-290.6858639 1
< 0.1%
-48.32098131 1
< 0.1%
0.3000000119 1
< 0.1%
0.400000006 1
< 0.1%
1.162419822 1
< 0.1%
1.268706513 1
< 0.1%
1.276168026 1
< 0.1%
1.280778559 1
< 0.1%
1.298408316 1
< 0.1%
1.309341839 1
< 0.1%
ValueCountFrequency (%)
1816.837423 1
< 0.1%
1815.25355 1
< 0.1%
1815.012503 1
< 0.1%
1814.984247 1
< 0.1%
1814.687044 1
< 0.1%
1813.427771 1
< 0.1%
1812.953762 1
< 0.1%
1812.6931 1
< 0.1%
1812.258162 1
< 0.1%
1812.256044 1
< 0.1%
Distinct38550
Distinct (%)74.1%
Missing706
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean11.636198
Minimum-1.685
Maximum34.867501
Zeros0
Zeros (%)0.0%
Negative147
Negative (%)0.3%
Memory size823.5 KiB
2023-06-23T09:14:13.775510image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-1.685
5-th percentile3.7148333
Q17.330625
median10.973509
Q315.410526
95-th percentile21.8
Maximum34.867501
Range36.552501
Interquartile range (IQR)8.079901

Descriptive statistics

Standard deviation5.6442506
Coefficient of variation (CV)0.48505968
Kurtosis0.099734991
Mean11.636198
Median Absolute Deviation (MAD)4.0010086
Skewness0.54545594
Sum605059.04
Variance31.857565
MonotonicityNot monotonic
2023-06-23T09:14:14.078835image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.5 64
 
0.1%
9 51
 
0.1%
6.400000095 48
 
0.1%
9.600000381 48
 
0.1%
9.300000191 48
 
0.1%
10.30000019 48
 
0.1%
8.5 47
 
0.1%
7.900000095 46
 
0.1%
10.39999962 46
 
0.1%
6.599999905 45
 
0.1%
Other values (38540) 51507
97.7%
(Missing) 706
 
1.3%
ValueCountFrequency (%)
-1.685000044 1
< 0.1%
-1.610000032 1
< 0.1%
-1.600000024 1
< 0.1%
-1.597368441 1
< 0.1%
-1.595000023 1
< 0.1%
-1.590000021 1
< 0.1%
-1.54473685 1
< 0.1%
-1.520000005 1
< 0.1%
-1.515000004 1
< 0.1%
-1.454999989 1
< 0.1%
ValueCountFrequency (%)
34.86750145 1
< 0.1%
34.8475008 1
< 0.1%
34.83684339 1
< 0.1%
34.77222294 1
< 0.1%
34.7382357 1
< 0.1%
34.68157839 1
< 0.1%
34.44999924 1
< 0.1%
34.39999992 1
< 0.1%
34.28000031 1
< 0.1%
34.20789478 1
< 0.1%

Blade angle (pitch position) A (°)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct19455
Distinct (%)37.4%
Missing705
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean5.9955269
Minimum0
Maximum92.650002
Zeros23228
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size823.5 KiB
2023-06-23T09:14:14.393865image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.049000001
Q31.8615
95-th percentile44.990002
Maximum92.650002
Range92.650002
Interquartile range (IQR)1.8615

Descriptive statistics

Standard deviation16.098587
Coefficient of variation (CV)2.6850996
Kurtosis13.468275
Mean5.9955269
Median Absolute Deviation (MAD)0.049000001
Skewness3.5767526
Sum311761.4
Variance259.16449
MonotonicityNot monotonic
2023-06-23T09:14:14.695160image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23228
44.1%
44.99000168 2864
 
5.4%
89.98999786 450
 
0.9%
0.02450000048 402
 
0.8%
1.49000001 309
 
0.6%
0.04900000095 196
 
0.4%
0.02449974513 145
 
0.3%
91.98000336 144
 
0.3%
0.07350000143 106
 
0.2%
0.4900000095 85
 
0.2%
Other values (19445) 24070
45.7%
(Missing) 705
 
1.3%
ValueCountFrequency (%)
0 23228
44.1%
0.0004999999866 21
 
< 0.1%
0.0004999999888 49
 
0.1%
0.0005263157755 2
 
< 0.1%
0.0005263157777 5
 
< 0.1%
0.0005555555431 3
 
< 0.1%
0.000624999986 4
 
< 0.1%
0.000769230749 1
 
< 0.1%
0.0009090908888 1
 
< 0.1%
0.0009999999603 13
 
< 0.1%
ValueCountFrequency (%)
92.65000153 2
 
< 0.1%
92.58999634 1
 
< 0.1%
92.55000305 5
 
< 0.1%
92.51999664 1
 
< 0.1%
92.48999786 71
0.1%
92.45999908 17
 
< 0.1%
92.44999695 34
0.1%
92.39909016 1
 
< 0.1%
92.27849731 1
 
< 0.1%
92.18649712 1
 
< 0.1%

Blade angle (pitch position) B (°)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct19544
Distinct (%)37.6%
Missing705
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean6.0594386
Minimum0
Maximum92.919998
Zeros23234
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size823.5 KiB
2023-06-23T09:14:14.986189image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.049000001
Q31.8613353
95-th percentile44.990002
Maximum92.919998
Range92.919998
Interquartile range (IQR)1.8613353

Descriptive statistics

Standard deviation16.311187
Coefficient of variation (CV)2.6918644
Kurtosis13.369507
Mean6.0594386
Median Absolute Deviation (MAD)0.049000001
Skewness3.573147
Sum315084.75
Variance266.05482
MonotonicityNot monotonic
2023-06-23T09:14:15.280432image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23234
44.1%
44.99000168 2856
 
5.4%
89.98999786 450
 
0.9%
0.02450000048 395
 
0.7%
1.49000001 300
 
0.6%
0.04900000095 199
 
0.4%
0.02449974513 148
 
0.3%
92.27999878 144
 
0.3%
0.07350000143 107
 
0.2%
0.02578947419 86
 
0.2%
Other values (19534) 24080
45.7%
(Missing) 705
 
1.3%
ValueCountFrequency (%)
0 23234
44.1%
0.0004999999866 18
 
< 0.1%
0.0004999999888 43
 
0.1%
0.0005263157755 2
 
< 0.1%
0.0005263157777 5
 
< 0.1%
0.0005555555431 2
 
< 0.1%
0.000624999986 5
 
< 0.1%
0.000769230749 1
 
< 0.1%
0.0009090908888 1
 
< 0.1%
0.0009999999603 17
 
< 0.1%
ValueCountFrequency (%)
92.91999817 5
 
< 0.1%
92.87999725 48
0.1%
92.87000275 1
 
< 0.1%
92.86000061 2
 
< 0.1%
92.80999756 1
 
< 0.1%
92.70999908 17
 
< 0.1%
92.54454803 1
 
< 0.1%
92.48999786 72
0.1%
92.40899773 1
 
< 0.1%
92.35316106 1
 
< 0.1%

Blade angle (pitch position) C (°)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct19348
Distinct (%)37.2%
Missing705
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean6.0572695
Minimum0
Maximum92.709999
Zeros23267
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size823.5 KiB
2023-06-23T09:14:15.582606image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.049000001
Q31.859649
95-th percentile44.990002
Maximum92.709999
Range92.709999
Interquartile range (IQR)1.859649

Descriptive statistics

Standard deviation16.30213
Coefficient of variation (CV)2.6913332
Kurtosis13.348964
Mean6.0572695
Median Absolute Deviation (MAD)0.049000001
Skewness3.5709771
Sum314971.96
Variance265.75945
MonotonicityNot monotonic
2023-06-23T09:14:15.868132image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23267
44.1%
44.99000168 2864
 
5.4%
89.98999786 450
 
0.9%
0.02450000048 408
 
0.8%
1.49000001 314
 
0.6%
0.04900000095 211
 
0.4%
0.02449974513 149
 
0.3%
92.05999756 145
 
0.3%
0.07350000143 110
 
0.2%
0.02578947419 90
 
0.2%
Other values (19338) 23991
45.5%
(Missing) 705
 
1.3%
ValueCountFrequency (%)
0 23267
44.1%
0.0004999999866 14
 
< 0.1%
0.0004999999888 33
 
0.1%
0.0005263157755 1
 
< 0.1%
0.0005263157777 5
 
< 0.1%
0.0005555555408 1
 
< 0.1%
0.000588235281 1
 
< 0.1%
0.000624999986 1
 
< 0.1%
0.000769230749 1
 
< 0.1%
0.0009999999603 12
 
< 0.1%
ValueCountFrequency (%)
92.70999908 1
 
< 0.1%
92.70999908 1
 
< 0.1%
92.69999695 5
 
< 0.1%
92.62999725 48
0.1%
92.62000275 2
 
< 0.1%
92.5 17
 
< 0.1%
92.48999786 71
0.1%
92.44454748 1
 
< 0.1%
92.41999817 33
0.1%
92.31449814 1
 
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing42
Missing (%)0.1%
Memory size823.5 KiB
0.0
52662 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters157986
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 52662
99.9%
(Missing) 42
 
0.1%

Length

2023-06-23T09:14:16.126316image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-06-23T09:14:16.423786image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0.0 52662
100.0%

Most occurring characters

ValueCountFrequency (%)
0 105324
66.7%
. 52662
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 105324
66.7%
Other Punctuation 52662
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 105324
100.0%
Other Punctuation
ValueCountFrequency (%)
. 52662
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 157986
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 105324
66.7%
. 52662
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 157986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 105324
66.7%
. 52662
33.3%
Distinct905
Distinct (%)1.7%
Missing320
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean2.003552
Minimum0
Maximum343.43091
Zeros51415
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size823.5 KiB
2023-06-23T09:14:16.656272image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum343.43091
Range343.43091
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.729117
Coefficient of variation (CV)10.346183
Kurtosis195.86948
Mean2.003552
Median Absolute Deviation (MAD)0
Skewness13.39512
Sum104954.07
Variance429.69629
MonotonicityNot monotonic
2023-06-23T09:14:16.945946image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51415
97.6%
341.2683333 64
 
0.1%
340.085 3
 
< 0.1%
126.0493427 1
 
< 0.1%
95.73362863 1
 
< 0.1%
40.5201981 1
 
< 0.1%
39.59838311 1
 
< 0.1%
38.44765083 1
 
< 0.1%
50.10749355 1
 
< 0.1%
39.45438684 1
 
< 0.1%
Other values (895) 895
 
1.7%
(Missing) 320
 
0.6%
ValueCountFrequency (%)
0 51415
97.6%
0.1947836168 1
 
< 0.1%
0.2887969022 1
 
< 0.1%
0.4894446046 1
 
< 0.1%
1.320128861 1
 
< 0.1%
1.576471975 1
 
< 0.1%
2.298855476 1
 
< 0.1%
3.134624239 1
 
< 0.1%
3.24382356 1
 
< 0.1%
3.444360573 1
 
< 0.1%
ValueCountFrequency (%)
343.430909 1
< 0.1%
342.9584564 1
< 0.1%
342.6777445 1
< 0.1%
342.6307572 1
< 0.1%
342.2504201 1
< 0.1%
342.1934566 1
< 0.1%
342.0926605 1
< 0.1%
342.0886694 1
< 0.1%
341.7963639 1
< 0.1%
341.4390938 1
< 0.1%
Distinct33
Distinct (%)0.1%
Missing706
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean527.43521
Minimum506
Maximum541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size823.5 KiB
2023-06-23T09:14:17.266920image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum506
5-th percentile508
Q1525
median527
Q3535
95-th percentile538
Maximum541
Range35
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.9591402
Coefficient of variation (CV)0.016986238
Kurtosis0.27492678
Mean527.43521
Median Absolute Deviation (MAD)6
Skewness-1.0035746
Sum27425576
Variance80.266193
MonotonicityIncreasing
2023-06-23T09:14:17.530383image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
535 9208
17.5%
526 9047
17.2%
508 4404
8.4%
527 4108
 
7.8%
532 2894
 
5.5%
537 2807
 
5.3%
529 2759
 
5.2%
521 2421
 
4.6%
534 2034
 
3.9%
525 1952
 
3.7%
Other values (23) 10364
19.7%
ValueCountFrequency (%)
506 905
 
1.7%
507 347
 
0.7%
508 4404
8.4%
509 1
 
< 0.1%
510 628
 
1.2%
511 325
 
0.6%
512 12
 
< 0.1%
513 24
 
< 0.1%
516 1
 
< 0.1%
517 73
 
0.1%
ValueCountFrequency (%)
541 293
 
0.6%
540 557
 
1.1%
539 1562
 
3.0%
538 628
 
1.2%
537 2807
 
5.3%
536 945
 
1.8%
535 9208
17.5%
534 2034
 
3.9%
533 55
 
0.1%
532 2894
 
5.5%

Front bearing temperature (°C)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct38029
Distinct (%)73.1%
Missing705
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean66.426196
Minimum8.1100003
Maximum77.032499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size823.5 KiB
2023-06-23T09:14:17.847710image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum8.1100003
5-th percentile43.38975
Q164.9575
median70.910525
Q372.347499
95-th percentile73.960053
Maximum77.032499
Range68.922499
Interquartile range (IQR)7.3899992

Descriptive statistics

Standard deviation10.627331
Coefficient of variation (CV)0.15998704
Kurtosis7.5611961
Mean66.426196
Median Absolute Deviation (MAD)2.2144751
Skewness-2.5454232
Sum3454095.8
Variance112.94016
MonotonicityNot monotonic
2023-06-23T09:14:18.149364image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.199999809 22
 
< 0.1%
72.25250015 18
 
< 0.1%
8.5 17
 
< 0.1%
72.25 16
 
< 0.1%
10.30000019 12
 
< 0.1%
70.5 11
 
< 0.1%
72.24499969 11
 
< 0.1%
72.22499847 11
 
< 0.1%
9 11
 
< 0.1%
73.54499969 10
 
< 0.1%
Other values (38019) 51860
98.4%
(Missing) 705
 
1.3%
ValueCountFrequency (%)
8.110000277 1
 
< 0.1%
8.122500086 1
 
< 0.1%
8.164999914 1
 
< 0.1%
8.174999857 1
 
< 0.1%
8.189999819 1
 
< 0.1%
8.1974998 1
 
< 0.1%
8.199999809 22
< 0.1%
8.269999695 1
 
< 0.1%
8.274999571 1
 
< 0.1%
8.324999619 1
 
< 0.1%
ValueCountFrequency (%)
77.03249931 1
< 0.1%
76.96750069 1
< 0.1%
76.94500084 1
< 0.1%
76.89250107 1
< 0.1%
76.88000183 1
< 0.1%
76.86500206 1
< 0.1%
76.83529618 1
< 0.1%
76.80500069 1
< 0.1%
76.79737091 1
< 0.1%
76.77500038 1
< 0.1%

Rear bearing temperature (°C)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct37978
Distinct (%)73.0%
Missing705
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean65.781159
Minimum7.8300002
Maximum77.047501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size823.5 KiB
2023-06-23T09:14:18.449336image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7.8300002
5-th percentile43.945
Q165.555001
median69.1425
Q370.845003
95-th percentile72.874999
Maximum77.047501
Range69.217501
Interquartile range (IQR)5.2900021

Descriptive statistics

Standard deviation9.8915319
Coefficient of variation (CV)0.15037029
Kurtosis10.360971
Mean65.781159
Median Absolute Deviation (MAD)2.2075012
Skewness-2.9783469
Sum3420554.5
Variance97.842403
MonotonicityNot monotonic
2023-06-23T09:14:18.749537image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 11
 
< 0.1%
70.9875 11
 
< 0.1%
69.25249977 10
 
< 0.1%
69.47750015 10
 
< 0.1%
69.99000015 10
 
< 0.1%
70.00999985 10
 
< 0.1%
69.91500015 10
 
< 0.1%
70.62250023 9
 
< 0.1%
69.42750015 9
 
< 0.1%
70.32249985 9
 
< 0.1%
Other values (37968) 51900
98.5%
(Missing) 705
 
1.3%
ValueCountFrequency (%)
7.830000186 1
 
< 0.1%
7.850000238 1
 
< 0.1%
7.852500176 1
 
< 0.1%
7.862500143 1
 
< 0.1%
7.863889111 1
 
< 0.1%
7.88500011 1
 
< 0.1%
7.887500119 1
 
< 0.1%
7.890000153 1
 
< 0.1%
7.900000095 5
< 0.1%
7.925000095 1
 
< 0.1%
ValueCountFrequency (%)
77.04750099 1
< 0.1%
76.88000145 1
< 0.1%
76.87941248 1
< 0.1%
76.84500046 1
< 0.1%
76.79500122 1
< 0.1%
76.77750092 1
< 0.1%
76.74374914 1
< 0.1%
76.73947304 1
< 0.1%
76.73249969 1
< 0.1%
76.64210269 1
< 0.1%

Interactions

2023-06-23T09:13:56.215031image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:06.983566image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:12.025148image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:17.832965image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:24.402902image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:29.445662image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:37.057612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:42.654432image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:47.991263image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:54.558382image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:00.375170image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:06.710000image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:12.587620image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:18.527715image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:25.340159image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:31.579957image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:37.878961image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:43.541833image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:49.189720image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:56.468700image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:07.273531image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:12.266783image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:18.214865image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:24.644780image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:30.346788image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:37.301010image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:42.905155image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:48.317047image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:54.818611image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:00.646005image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:07.030691image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:12.833152image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:18.914859image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:25.605463image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:31.845474image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:38.309174image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:43.813072image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:49.515584image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:56.723640image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:07.538561image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:12.521291image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:18.638851image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:24.894360image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:30.668694image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:37.567298image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:43.155114image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:48.664760image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:55.090511image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:00.899249image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:07.454068image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:13.099585image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:19.189002image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:25.858551image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:32.109682image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:38.706157image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:44.079748image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:49.879749image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:56.991040image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:07.820496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:12.789368image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:19.067657image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:25.158896image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:30.931411image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:37.871263image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:43.415447image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:49.098666image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:55.363638image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:01.171345image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:07.906368image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:13.358023image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:19.532317image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:26.129292image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:32.380148image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:39.142894image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:44.351196image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:50.306503image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:57.242357image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:08.108036image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:13.285360image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:19.436016image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:25.428850image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:31.205573image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:38.147297image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:43.683858image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:49.509943image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:55.648833image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:01.431430image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:08.217316image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:13.623574image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:19.946157image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:26.381137image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:32.637975image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:39.482438image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:45.307275image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:50.727602image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:57.497548image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:08.371001image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:13.546831image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:19.846111image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:25.697865image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:31.485027image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:38.414780image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:43.958922image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:49.936943image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:56.533363image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:01.696355image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:08.482266image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:13.890112image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:20.372643image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:26.662915image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:32.935385image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:39.736585image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:45.570038image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:51.136514image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:57.759529image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:08.647484image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:13.817662image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:20.284568image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:25.960961image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:31.851063image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:39.185066image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:44.234601image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:50.376765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:56.810614image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:01.962345image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:09.083470image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:14.162365image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:20.809960image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:26.927244image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:33.192655image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:40.006159image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:45.834582image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:51.561568image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:58.017301image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:08.888144image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:14.068505image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:20.682842image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:26.230027image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:32.216760image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2023-06-23T09:13:48.653470image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:55.653539image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:14:00.964601image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:11.764126image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:17.380674image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:23.859463image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:29.159734image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:36.702821image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:42.376086image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:47.553057image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:12:54.283787image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:00.104449image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:06.293750image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:12.326280image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:18.155923image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:25.078145image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:30.900272image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:37.436134image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:43.252796image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:48.926989image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-23T09:13:55.942404image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2023-06-23T09:14:19.035221image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Wind speed (m/s)Wind speed, Standard deviation (m/s)Wind speed, Minimum (m/s)Wind speed, Maximum (m/s)Wind direction (°)Nacelle position (°)Energy Export (kWh)Power (kW)Reactive power (kvar)Rotor speed (RPM)Generator RPM (RPM)Nacelle ambient temperature (°C)Blade angle (pitch position) A (°)Blade angle (pitch position) B (°)Blade angle (pitch position) C (°)Lost Production to Downtime (kWh)Metal particle count counterFront bearing temperature (°C)Rear bearing temperature (°C)
Wind speed (m/s)1.0000.7280.9590.9840.0930.0870.9630.971-0.9390.9620.961-0.2130.0650.0650.065-0.017-0.1000.7820.632
Wind speed, Standard deviation (m/s)0.7281.0000.5510.816-0.004-0.0140.7170.723-0.7490.7050.7030.0300.2130.2140.213-0.021-0.1150.5490.452
Wind speed, Minimum (m/s)0.9590.5511.0000.9160.1010.0960.9190.926-0.8810.9220.922-0.2620.0250.0250.024-0.016-0.0880.7470.599
Wind speed, Maximum (m/s)0.9840.8160.9161.0000.0720.0650.9540.961-0.9420.9500.949-0.1720.0830.0830.083-0.024-0.1060.7710.628
Wind direction (°)0.093-0.0040.1010.0721.0000.9240.0680.067-0.0370.0650.066-0.1000.0050.0050.0050.0910.0370.0590.039
Nacelle position (°)0.087-0.0140.0960.0650.9241.0000.0650.064-0.0340.0610.063-0.1060.0030.0030.0030.0720.0270.0540.032
Energy Export (kWh)0.9630.7170.9190.9540.0680.0651.0000.988-0.9590.9820.981-0.2050.0120.0120.012-0.202-0.1220.8070.652
Power (kW)0.9710.7230.9260.9610.0670.0640.9881.000-0.9690.9910.990-0.2060.0230.0230.023-0.198-0.1250.8100.658
Reactive power (kvar)-0.939-0.749-0.881-0.942-0.037-0.034-0.959-0.9691.000-0.963-0.9630.193-0.058-0.058-0.0580.1940.127-0.778-0.626
Rotor speed (RPM)0.9620.7050.9220.9500.0650.0610.9820.991-0.9631.0000.998-0.2050.0040.0040.004-0.209-0.1150.8100.651
Generator RPM (RPM)0.9610.7030.9220.9490.0660.0630.9810.990-0.9630.9981.000-0.2190.0030.0030.002-0.208-0.1200.8060.645
Nacelle ambient temperature (°C)-0.2130.030-0.262-0.172-0.100-0.106-0.205-0.2060.193-0.205-0.2191.0000.0560.0560.056-0.1170.170-0.1240.049
Blade angle (pitch position) A (°)0.0650.2130.0250.0830.0050.0030.0120.023-0.0580.0040.0030.0561.0001.0000.9990.228-0.065-0.236-0.376
Blade angle (pitch position) B (°)0.0650.2140.0250.0830.0050.0030.0120.023-0.0580.0040.0030.0561.0001.0001.0000.230-0.065-0.236-0.376
Blade angle (pitch position) C (°)0.0650.2130.0240.0830.0050.0030.0120.023-0.0580.0040.0020.0560.9991.0001.0000.230-0.065-0.237-0.376
Lost Production to Downtime (kWh)-0.017-0.021-0.016-0.0240.0910.072-0.202-0.1980.194-0.209-0.208-0.1170.2280.2300.2301.0000.121-0.200-0.205
Metal particle count counter-0.100-0.115-0.088-0.1060.0370.027-0.122-0.1250.127-0.115-0.1200.170-0.065-0.065-0.0650.1211.000-0.0470.023
Front bearing temperature (°C)0.7820.5490.7470.7710.0590.0540.8070.810-0.7780.8100.806-0.124-0.236-0.236-0.237-0.200-0.0471.0000.884
Rear bearing temperature (°C)0.6320.4520.5990.6280.0390.0320.6520.658-0.6260.6510.6450.049-0.376-0.376-0.376-0.2050.0230.8841.000

Missing values

2023-06-23T09:14:01.384303image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-06-23T09:14:02.149739image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-06-23T09:14:03.057560image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Wind speed (m/s)Wind speed, Standard deviation (m/s)Wind speed, Minimum (m/s)Wind speed, Maximum (m/s)Wind direction (°)Nacelle position (°)Energy Export (kWh)Power (kW)Reactive power (kvar)Rotor speed (RPM)Generator RPM (RPM)Nacelle ambient temperature (°C)Blade angle (pitch position) A (°)Blade angle (pitch position) B (°)Blade angle (pitch position) C (°)Lost Production to Curtailment (Total) (kWh)Lost Production to Downtime (kWh)Metal particle count counterFront bearing temperature (°C)Rear bearing temperature (°C)
# Date and time
2020-01-01 00:00:005.3710110.7114124.0374066.974365113.313270101.21675957.0386.335927-126.40372810.6860661269.5325456.5200000.0000000.0000000.0000000.00.0506.068.86999968.794999
2020-01-01 00:10:004.7748570.5773593.3361155.855418114.925915101.21675947.0276.166611-98.2065209.7182671155.3688726.5950000.0000000.0000000.0000000.00.0506.068.75000068.325000
2020-01-01 00:20:004.8198710.6547293.2878536.433454117.427182101.21675948.0243.963609-87.1271229.3394371111.3899596.6000000.0000000.0000000.0000000.00.0506.067.61750167.270001
2020-01-01 00:30:003.5677380.5674232.7985455.060943117.950283101.21675918.0113.998529-59.1054058.252814982.2436446.5150000.2964910.2964910.2964910.00.0506.065.28500165.460000
2020-01-01 00:40:003.9752960.8820102.7844376.251542115.878294101.21675917.0150.627731-65.2672088.5704021019.6784276.4400000.1969970.1969970.1969970.00.0506.063.61500164.747499
2020-01-01 00:50:004.3951350.8359513.0873786.609426126.440753110.81654547.0230.820182-117.2471379.2409811098.1125526.5552630.0000000.0000000.0000000.00.0506.065.81052766.489474
2020-01-01 01:00:004.4990560.7968273.1534606.230751129.845291119.87522934.0229.265832-164.4627929.1694711091.3595776.5800000.0000000.0000000.0000000.00.0506.066.16250066.522500
2020-01-01 01:10:004.4741821.0486302.9477886.439023132.009559119.87522936.0228.604192-142.3846289.1607861089.0772486.4500000.0000000.0000000.0000000.00.0506.066.80500166.935000
2020-01-01 01:20:004.5878960.9317833.0250085.932638128.608893119.87522947.0246.251331-134.3394939.3633161113.7455886.4200000.0000000.0000000.0000000.00.0506.066.87000066.915001
2020-01-01 01:30:003.6316490.8641231.8685645.230233134.846493119.87522921.0138.829758-127.9835048.403713999.8567886.5950000.1899980.1874980.1849980.00.0506.065.21500165.342501
Wind speed (m/s)Wind speed, Standard deviation (m/s)Wind speed, Minimum (m/s)Wind speed, Maximum (m/s)Wind direction (°)Nacelle position (°)Energy Export (kWh)Power (kW)Reactive power (kvar)Rotor speed (RPM)Generator RPM (RPM)Nacelle ambient temperature (°C)Blade angle (pitch position) A (°)Blade angle (pitch position) B (°)Blade angle (pitch position) C (°)Lost Production to Curtailment (Total) (kWh)Lost Production to Downtime (kWh)Metal particle count counterFront bearing temperature (°C)Rear bearing temperature (°C)
# Date and time
2020-12-31 22:20:006.2426810.2951615.7123756.986250311.497181314.1430360.004808-2.6386910.00.02.2027521.390089.98999889.98999889.9899980.086.424496541.019.84000017.652500
2020-12-31 22:30:006.0438190.4515545.0853756.842625309.822020314.1430360.004808-2.6920410.00.02.1052501.400089.98999889.98999889.9899980.077.097778541.019.68250117.472500
2020-12-31 22:40:005.8019810.3887275.0448756.590250301.837791314.1430360.004808-3.6032590.00.01.7162541.400089.98999889.98999889.9899980.067.430359541.019.57000017.265000
2020-12-31 22:50:005.4419250.2789684.7268755.883750304.866016314.1430360.004808-2.6013460.00.01.6487421.460089.98999889.98999889.9899980.054.091695541.019.33749917.137501
2020-12-31 23:00:005.3961190.1574865.1206255.713875303.504024314.1430360.004808-2.7934060.00.01.7198101.550089.98999889.98999889.9899980.052.727324541.019.21000016.880000
2020-12-31 23:10:005.1447370.1125284.8397505.341500303.276535314.1430360.004808-3.4789540.00.01.5695731.600089.98999889.98999889.9899980.045.239769541.019.00000016.757500
2020-12-31 23:20:004.9794000.1915214.5363755.237250303.620920314.1430360.004808-3.3653180.00.01.6997871.600089.98999889.98999889.9899980.040.477948541.018.81500016.565000
2020-12-31 23:30:005.0882810.0603954.9488755.170125299.232986314.1430360.004808-3.2863600.00.01.6966701.600089.98999889.98999889.9899980.043.558183541.018.63000016.335000
2020-12-31 23:40:004.8718310.2074954.2753755.122875297.566402314.1430360.004808-4.2882730.00.01.7507011.600089.98999889.98999889.9899980.038.124380541.018.44750016.175001
2020-12-31 23:50:005.5833940.4946114.7977506.263625304.999392314.1430360.004808-2.9283820.00.01.7006001.442589.98999889.98999889.9899980.059.027352541.018.27000016.085000

Duplicate rows

Most frequently occurring

Wind speed (m/s)Wind speed, Standard deviation (m/s)Wind speed, Minimum (m/s)Wind speed, Maximum (m/s)Wind direction (°)Nacelle position (°)Energy Export (kWh)Power (kW)Reactive power (kvar)Rotor speed (RPM)Generator RPM (RPM)Nacelle ambient temperature (°C)Blade angle (pitch position) A (°)Blade angle (pitch position) B (°)Blade angle (pitch position) C (°)Lost Production to Curtailment (Total) (kWh)Lost Production to Downtime (kWh)Metal particle count counterFront bearing temperature (°C)Rear bearing temperature (°C)# duplicates
2NaNNaNNaNNaNNaNNaN3.496183NaNNaNNaNNaNNaNNaNNaNNaN0.0NaNNaNNaNNaN129
10NaNNaNNaNNaNNaNNaN128.500000NaNNaNNaNNaNNaNNaNNaNNaN0.0NaNNaNNaNNaN48
0NaNNaNNaNNaNNaNNaN0.000000NaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaN33
8NaNNaNNaNNaNNaNNaN115.161290NaNNaNNaNNaNNaNNaNNaNNaN0.0NaNNaNNaNNaN29
7NaNNaNNaNNaNNaNNaN101.000000NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN22
9NaNNaNNaNNaNNaNNaN118.555556NaNNaNNaNNaNNaNNaNNaNNaN0.0NaNNaNNaNNaN18
6NaNNaNNaNNaNNaNNaN83.666667NaNNaNNaNNaNNaNNaNNaNNaN0.0NaNNaNNaNNaN14
3NaNNaNNaNNaNNaNNaN18.500000NaNNaNNaNNaNNaNNaNNaNNaN0.0NaNNaNNaNNaN13
14NaNNaNNaNNaNNaNNaN353.769231NaNNaNNaNNaNNaNNaNNaNNaN0.0NaNNaNNaNNaN12
4NaNNaNNaNNaNNaNNaN40.875000NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN7